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istresearch/scrapy-cluster | utils/scutils/stats_collector.py | StatsCollector.get_hll_counter | def get_hll_counter(self, redis_conn=None, host='localhost', port=6379,
key='hyperloglog_counter', cycle_time=5,
start_time=None, window=SECONDS_1_HOUR, roll=True,
keep_max=12):
'''
Generate a new HyperLogLogCounter.
Useful ... | python | def get_hll_counter(self, redis_conn=None, host='localhost', port=6379,
key='hyperloglog_counter', cycle_time=5,
start_time=None, window=SECONDS_1_HOUR, roll=True,
keep_max=12):
'''
Generate a new HyperLogLogCounter.
Useful ... | [
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istresearch/scrapy-cluster | utils/scutils/stats_collector.py | AbstractCounter.setup | def setup(self, redis_conn=None, host='localhost', port=6379):
'''
Set up the redis connection
'''
if redis_conn is None:
if host is not None and port is not None:
self.redis_conn = redis.Redis(host=host, port=port)
else:
raise Exce... | python | def setup(self, redis_conn=None, host='localhost', port=6379):
'''
Set up the redis connection
'''
if redis_conn is None:
if host is not None and port is not None:
self.redis_conn = redis.Redis(host=host, port=port)
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istresearch/scrapy-cluster | utils/scutils/stats_collector.py | ThreadedCounter.setup | def setup(self, redis_conn=None, host='localhost', port=6379):
'''
Set up the counting manager class
@param redis_conn: A premade redis connection (overrides host and port)
@param host: the redis host
@param port: the redis port
'''
AbstractCounter.setup(self, re... | python | def setup(self, redis_conn=None, host='localhost', port=6379):
'''
Set up the counting manager class
@param redis_conn: A premade redis connection (overrides host and port)
@param host: the redis host
@param port: the redis port
'''
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istresearch/scrapy-cluster | utils/scutils/stats_collector.py | ThreadedCounter._threaded_start | def _threaded_start(self):
'''
Spawns a worker thread to do the expiration checks
'''
self.active = True
self.thread = Thread(target=self._main_loop)
self.thread.setDaemon(True)
self.thread.start() | python | def _threaded_start(self):
'''
Spawns a worker thread to do the expiration checks
'''
self.active = True
self.thread = Thread(target=self._main_loop)
self.thread.setDaemon(True)
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istresearch/scrapy-cluster | utils/scutils/stats_collector.py | ThreadedCounter._main_loop | def _main_loop(self):
'''
Main loop for the stats collector
'''
while self.active:
self.expire()
if self.roll and self.is_expired():
self.start_time = self.start_time + self.window
self._set_key()
self.purge_old()
... | python | def _main_loop(self):
'''
Main loop for the stats collector
'''
while self.active:
self.expire()
if self.roll and self.is_expired():
self.start_time = self.start_time + self.window
self._set_key()
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istresearch/scrapy-cluster | utils/scutils/stats_collector.py | ThreadedCounter._set_key | def _set_key(self):
'''
sets the final key to be used currently
'''
if self.roll:
self.date = time.strftime(self.date_format,
time.gmtime(self.start_time))
self.final_key = '{}:{}'.format(self.key, self.date)
else:
... | python | def _set_key(self):
'''
sets the final key to be used currently
'''
if self.roll:
self.date = time.strftime(self.date_format,
time.gmtime(self.start_time))
self.final_key = '{}:{}'.format(self.key, self.date)
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istresearch/scrapy-cluster | utils/scutils/stats_collector.py | ThreadedCounter.is_expired | def is_expired(self):
'''
Returns true if the time is beyond the window
'''
if self.window is not None:
return (self._time() - self.start_time) >= self.window
return False | python | def is_expired(self):
'''
Returns true if the time is beyond the window
'''
if self.window is not None:
return (self._time() - self.start_time) >= self.window
return False | [
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istresearch/scrapy-cluster | utils/scutils/stats_collector.py | ThreadedCounter.purge_old | def purge_old(self):
'''
Removes keys that are beyond our keep_max limit
'''
if self.keep_max is not None:
keys = self.redis_conn.keys(self.get_key() + ':*')
keys.sort(reverse=True)
while len(keys) > self.keep_max:
key = keys.pop()
... | python | def purge_old(self):
'''
Removes keys that are beyond our keep_max limit
'''
if self.keep_max is not None:
keys = self.redis_conn.keys(self.get_key() + ':*')
keys.sort(reverse=True)
while len(keys) > self.keep_max:
key = keys.pop()
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istresearch/scrapy-cluster | utils/scutils/redis_queue.py | Base._encode_item | def _encode_item(self, item):
'''
Encode an item object
@requires: The object be serializable
'''
if self.encoding.__name__ == 'pickle':
return self.encoding.dumps(item, protocol=-1)
else:
return self.encoding.dumps(item) | python | def _encode_item(self, item):
'''
Encode an item object
@requires: The object be serializable
'''
if self.encoding.__name__ == 'pickle':
return self.encoding.dumps(item, protocol=-1)
else:
return self.encoding.dumps(item) | [
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istresearch/scrapy-cluster | utils/scutils/zookeeper_watcher.py | ZookeeperWatcher.threaded_start | def threaded_start(self, no_init=False):
'''
Spawns a worker thread to set up the zookeeper connection
'''
thread = Thread(target=self.init_connections, kwargs={
'no_init': no_init})
thread.setDaemon(True)
thread.start()
thread.join() | python | def threaded_start(self, no_init=False):
'''
Spawns a worker thread to set up the zookeeper connection
'''
thread = Thread(target=self.init_connections, kwargs={
'no_init': no_init})
thread.setDaemon(True)
thread.start()
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istresearch/scrapy-cluster | utils/scutils/zookeeper_watcher.py | ZookeeperWatcher.init_connections | def init_connections(self, no_init=False):
'''
Sets up the initial Kazoo Client and watches
'''
success = False
self.set_valid(False)
if not no_init:
if self.zoo_client:
self.zoo_client.remove_listener(self.state_listener)
self... | python | def init_connections(self, no_init=False):
'''
Sets up the initial Kazoo Client and watches
'''
success = False
self.set_valid(False)
if not no_init:
if self.zoo_client:
self.zoo_client.remove_listener(self.state_listener)
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istresearch/scrapy-cluster | utils/scutils/zookeeper_watcher.py | ZookeeperWatcher.setup | def setup(self):
'''
Ensures the path to the watched file exists and we have a state
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'''
self.zoo_client.add_listener(self.state_listener)
if self.ensure:
self.zoo_client.ensure_path(self.my_file) | python | def setup(self):
'''
Ensures the path to the watched file exists and we have a state
listener
'''
self.zoo_client.add_listener(self.state_listener)
if self.ensure:
self.zoo_client.ensure_path(self.my_file) | [
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istresearch/scrapy-cluster | utils/scutils/zookeeper_watcher.py | ZookeeperWatcher.state_listener | def state_listener(self, state):
'''
Restarts the session if we get anything besides CONNECTED
'''
if state == KazooState.SUSPENDED:
self.set_valid(False)
self.call_error(self.BAD_CONNECTION)
elif state == KazooState.LOST and not self.do_not_restart:
... | python | def state_listener(self, state):
'''
Restarts the session if we get anything besides CONNECTED
'''
if state == KazooState.SUSPENDED:
self.set_valid(False)
self.call_error(self.BAD_CONNECTION)
elif state == KazooState.LOST and not self.do_not_restart:
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istresearch/scrapy-cluster | utils/scutils/zookeeper_watcher.py | ZookeeperWatcher.close | def close(self, kill_restart=True):
'''
Use when you would like to close everything down
@param kill_restart= Prevent kazoo restarting from occurring
'''
self.do_not_restart = kill_restart
self.zoo_client.stop()
self.zoo_client.close() | python | def close(self, kill_restart=True):
'''
Use when you would like to close everything down
@param kill_restart= Prevent kazoo restarting from occurring
'''
self.do_not_restart = kill_restart
self.zoo_client.stop()
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istresearch/scrapy-cluster | utils/scutils/zookeeper_watcher.py | ZookeeperWatcher.get_file_contents | def get_file_contents(self, pointer=False):
'''
Gets any file contents you care about. Defaults to the main file
@param pointer: The the contents of the file pointer, not the pointed
at file
@return: A string of the contents
'''
if self.pointer:
if poi... | python | def get_file_contents(self, pointer=False):
'''
Gets any file contents you care about. Defaults to the main file
@param pointer: The the contents of the file pointer, not the pointed
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@return: A string of the contents
'''
if self.pointer:
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istresearch/scrapy-cluster | utils/scutils/zookeeper_watcher.py | ZookeeperWatcher.update_file | def update_file(self, path):
'''
Updates the file watcher and calls the appropriate method for results
@return: False if we need to keep trying the connection
'''
try:
# grab the file
result, stat = self.zoo_client.get(path, watch=self.watch_file)
... | python | def update_file(self, path):
'''
Updates the file watcher and calls the appropriate method for results
@return: False if we need to keep trying the connection
'''
try:
# grab the file
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istresearch/scrapy-cluster | utils/scutils/zookeeper_watcher.py | ZookeeperWatcher.set_valid | def set_valid(self, boolean):
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'''
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self.valid_file = boolean
if old_state != self.valid_file:
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'''
Sets the state and calls the change if needed
@param bool: The state (true or false)
'''
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istresearch/scrapy-cluster | kafka-monitor/plugins/zookeeper_handler.py | ZookeeperHandler.setup | def setup(self, settings):
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'''
Setup redis and tldextract
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self.extract = tldextract.TLDExtract()
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istresearch/scrapy-cluster | redis-monitor/plugins/base_monitor.py | BaseMonitor.get_log_dict | def get_log_dict(self, action, appid, spiderid=None, uuid=None,
crawlid=None):
'''
Returns a basic dictionary for logging
@param action: the action taken by the redis monitor
@param spiderid: the spider id
@param appid: the application id
@param uuid:... | python | def get_log_dict(self, action, appid, spiderid=None, uuid=None,
crawlid=None):
'''
Returns a basic dictionary for logging
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._load_plugins | def _load_plugins(self):
'''
Sets up all plugins and defaults
'''
plugins = self.settings['PLUGINS']
self.plugins_dict = {}
for key in plugins:
# skip loading the plugin if its value is None
if plugins[key] is None:
continue
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'''
Sets up all plugins and defaults
'''
plugins = self.settings['PLUGINS']
self.plugins_dict = {}
for key in plugins:
# skip loading the plugin if its value is None
if plugins[key] is None:
continue
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._main_loop | def _main_loop(self):
'''
The internal while true main loop for the redis monitor
'''
self.logger.debug("Running main loop")
old_time = 0
while True:
for plugin_key in self.plugins_dict:
obj = self.plugins_dict[plugin_key]
self.... | python | def _main_loop(self):
'''
The internal while true main loop for the redis monitor
'''
self.logger.debug("Running main loop")
old_time = 0
while True:
for plugin_key in self.plugins_dict:
obj = self.plugins_dict[plugin_key]
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._process_plugin | def _process_plugin(self, plugin):
'''
Logic to handle each plugin that is active
@param plugin: a plugin dict object
'''
instance = plugin['instance']
regex = plugin['regex']
for key in self.redis_conn.scan_iter(match=regex):
# acquire lock
... | python | def _process_plugin(self, plugin):
'''
Logic to handle each plugin that is active
@param plugin: a plugin dict object
'''
instance = plugin['instance']
regex = plugin['regex']
for key in self.redis_conn.scan_iter(match=regex):
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._create_lock_object | def _create_lock_object(self, key):
'''
Returns a lock object, split for testing
'''
return redis_lock.Lock(self.redis_conn, key,
expire=self.settings['REDIS_LOCK_EXPIRATION'],
auto_renewal=True) | python | def _create_lock_object(self, key):
'''
Returns a lock object, split for testing
'''
return redis_lock.Lock(self.redis_conn, key,
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._process_failures | def _process_failures(self, key):
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Handles the retrying of the failed key
'''
if self.settings['RETRY_FAILURES']:
self.logger.debug("going to retry failure")
# get the current failure count
failkey = self._get_fail_key(key)
current = sel... | python | def _process_failures(self, key):
'''
Handles the retrying of the failed key
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self.logger.debug("going to retry failure")
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._setup_stats | def _setup_stats(self):
'''
Sets up the stats
'''
# stats setup
self.stats_dict = {}
if self.settings['STATS_TOTAL']:
self._setup_stats_total()
if self.settings['STATS_PLUGINS']:
self._setup_stats_plugins() | python | def _setup_stats(self):
'''
Sets up the stats
'''
# stats setup
self.stats_dict = {}
if self.settings['STATS_TOTAL']:
self._setup_stats_total()
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._setup_stats_plugins | def _setup_stats_plugins(self):
'''
Sets up the plugin stats collectors
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self.stats_dict['plugins'] = {}
for key in self.plugins_dict:
plugin_name = self.plugins_dict[key]['instance'].__class__.__name__
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'''
Sets up the plugin stats collectors
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self.stats_dict['plugins'] = {}
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._dump_crawl_stats | def _dump_crawl_stats(self):
'''
Dumps flattened crawling stats so the spiders do not have to
'''
extras = {}
spiders = {}
spider_set = set()
total_spider_count = 0
keys = self.redis_conn.keys('stats:crawler:*:*:*')
for key in keys:
#... | python | def _dump_crawl_stats(self):
'''
Dumps flattened crawling stats so the spiders do not have to
'''
extras = {}
spiders = {}
spider_set = set()
total_spider_count = 0
keys = self.redis_conn.keys('stats:crawler:*:*:*')
for key in keys:
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor._dump_queue_stats | def _dump_queue_stats(self):
'''
Dumps basic info about the queue lengths for the spider types
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extras = {}
keys = self.redis_conn.keys('*:*:queue')
total_backlog = 0
for key in keys:
elements = key.split(":")
spider = elements[0]
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'''
Dumps basic info about the queue lengths for the spider types
'''
extras = {}
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total_backlog = 0
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istresearch/scrapy-cluster | redis-monitor/redis_monitor.py | RedisMonitor.close | def close(self):
'''
Closes the Redis Monitor and plugins
'''
for plugin_key in self.plugins_dict:
obj = self.plugins_dict[plugin_key]
instance = obj['instance']
instance.close() | python | def close(self):
'''
Closes the Redis Monitor and plugins
'''
for plugin_key in self.plugins_dict:
obj = self.plugins_dict[plugin_key]
instance = obj['instance']
instance.close() | [
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istresearch/scrapy-cluster | redis-monitor/plugins/stats_monitor.py | StatsMonitor.get_all_stats | def get_all_stats(self):
'''
Gather all stats objects
'''
self.logger.debug("Gathering all stats")
the_dict = {}
the_dict['kafka-monitor'] = self.get_kafka_monitor_stats()
the_dict['redis-monitor'] = self.get_redis_monitor_stats()
the_dict['crawler'] = sel... | python | def get_all_stats(self):
'''
Gather all stats objects
'''
self.logger.debug("Gathering all stats")
the_dict = {}
the_dict['kafka-monitor'] = self.get_kafka_monitor_stats()
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istresearch/scrapy-cluster | redis-monitor/plugins/stats_monitor.py | StatsMonitor._get_plugin_stats | def _get_plugin_stats(self, name):
'''
Used for getting stats for Plugin based stuff, like Kafka Monitor
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@param name: the main class stats name
@return: A formatted dict of stats
'''
the_dict = {}
keys = self.redis_conn.keys('stats:{n}:... | python | def _get_plugin_stats(self, name):
'''
Used for getting stats for Plugin based stuff, like Kafka Monitor
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@param name: the main class stats name
@return: A formatted dict of stats
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@param key: the redis key
@param is_hll: the key is a HyperLogLog, else is a sorted set
'''
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return self.redis_conn.execute_comma... | python | def _get_key_value(self, key, is_hll=False):
'''
Returns the proper key value for the stats
@param key: the redis key
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istresearch/scrapy-cluster | redis-monitor/plugins/stats_monitor.py | StatsMonitor.get_crawler_stats | def get_crawler_stats(self):
'''
Gather crawler stats
@return: A dict of stats
'''
self.logger.debug("Gathering crawler stats")
the_dict = {}
the_dict['spiders'] = self.get_spider_stats()['spiders']
the_dict['machines'] = self.get_machine_stats()['machin... | python | def get_crawler_stats(self):
'''
Gather crawler stats
@return: A dict of stats
'''
self.logger.debug("Gathering crawler stats")
the_dict = {}
the_dict['spiders'] = self.get_spider_stats()['spiders']
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istresearch/scrapy-cluster | redis-monitor/plugins/stats_monitor.py | StatsMonitor.get_queue_stats | def get_queue_stats(self):
'''
Gather queue stats
@return: A dict of stats
'''
self.logger.debug("Gathering queue based stats")
the_dict = {}
keys = self.redis_conn.keys('*:*:queue')
total_backlog = 0
for key in keys:
elements = key.s... | python | def get_queue_stats(self):
'''
Gather queue stats
@return: A dict of stats
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self.logger.debug("Gathering queue based stats")
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istresearch/scrapy-cluster | crawler/config/file_pusher.py | main | def main():
'''
A manual configuration file pusher for the crawlers. This will update
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'''
import argparse
from kazoo.client import KazooClient
parser = argparse.ArgumentParser(
description="Crawler config file pusher... | python | def main():
'''
A manual configuration file pusher for the crawlers. This will update
Zookeeper with the contents of the file specified in the args.
'''
import argparse
from kazoo.client import KazooClient
parser = argparse.ArgumentParser(
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istresearch/scrapy-cluster | utils/scutils/log_factory.py | LogCallbackMixin.is_subdict | def is_subdict(self, a,b):
'''
Return True if a is a subdict of b
'''
return all((k in b and b[k]==v) for k,v in a.iteritems()) | python | def is_subdict(self, a,b):
'''
Return True if a is a subdict of b
'''
return all((k in b and b[k]==v) for k,v in a.iteritems()) | [
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istresearch/scrapy-cluster | utils/scutils/log_factory.py | LogObject._check_log_level | def _check_log_level(self, level):
'''
Ensures a valid log level
@param level: the asked for level
'''
if level not in list(self.level_dict.keys()):
self.log_level = 'DEBUG'
self.logger.warn("Unknown log level '{lev}', defaulting to DEBUG"
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'''
Ensures a valid log level
@param level: the asked for level
'''
if level not in list(self.level_dict.keys()):
self.log_level = 'DEBUG'
self.logger.warn("Unknown log level '{lev}', defaulting to DEBUG"
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istresearch/scrapy-cluster | utils/scutils/log_factory.py | LogObject._get_formatter | def _get_formatter(self, json):
'''
Return the proper log formatter
@param json: Boolean value
'''
if json:
return jsonlogger.JsonFormatter()
else:
return logging.Formatter(self.format_string) | python | def _get_formatter(self, json):
'''
Return the proper log formatter
@param json: Boolean value
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istresearch/scrapy-cluster | utils/scutils/log_factory.py | LogObject.debug | def debug(self, message, extra={}):
'''
Writes an error message to the log
@param message: The message to write
@param extra: The extras object to pass in
'''
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'''
Writes an error message to the log
@param message: The message to write
@param extra: The extras object to pass in
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istresearch/scrapy-cluster | utils/scutils/log_factory.py | LogObject._write_message | def _write_message(self, message, extra):
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Writes the log output
@param message: The message to write
@param extra: The potential object to write
'''
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self._write_standard(message, extra)
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self._write_json(message, ... | python | def _write_message(self, message, extra):
'''
Writes the log output
@param message: The message to write
@param extra: The potential object to write
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istresearch/scrapy-cluster | utils/scutils/log_factory.py | LogObject.add_extras | def add_extras(self, dict, level):
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istresearch/scrapy-cluster | crawler/crawling/log_retry_middleware.py | LogRetryMiddleware._increment_504_stat | def _increment_504_stat(self, request):
'''
Increments the 504 stat counters
@param request: The scrapy request in the spider
'''
for key in self.stats_dict:
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unique = request.url + str(time.time())
self.stats_dict... | python | def _increment_504_stat(self, request):
'''
Increments the 504 stat counters
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istresearch/scrapy-cluster | utils/scutils/redis_throttled_queue.py | RedisThrottledQueue.clear | def clear(self):
'''
Clears all data associated with the throttled queue
'''
self.redis_conn.delete(self.window_key)
self.redis_conn.delete(self.moderate_key)
self.queue.clear() | python | def clear(self):
'''
Clears all data associated with the throttled queue
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self.redis_conn.delete(self.window_key)
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istresearch/scrapy-cluster | utils/scutils/redis_throttled_queue.py | RedisThrottledQueue.pop | def pop(self, *args):
'''
Non-blocking from throttled queue standpoint, tries to return a
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the given time window has not been exceeded
@return: The item if the throttle limit has not been hit,
otherwise None
'''
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'''
Non-blocking from throttled queue standpoint, tries to return a
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@return: The item if the throttle limit has not been hit,
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istresearch/scrapy-cluster | utils/scutils/redis_throttled_queue.py | RedisThrottledQueue.allowed | def allowed(self):
'''
Check to see if the pop request is allowed
@return: True means the maximum was not been reached for the current
time window, thus allowing what ever operation follows
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# Expire old keys (hits)
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Check to see if the pop request is allowed
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istresearch/scrapy-cluster | utils/scutils/redis_throttled_queue.py | RedisThrottledQueue.check_elastic | def check_elastic(self):
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@return: True if we need to break moderation
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Checks if we need to break moderation in order to maintain our desired
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istresearch/scrapy-cluster | utils/scutils/redis_throttled_queue.py | RedisThrottledQueue.is_moderated | def is_moderated(self, curr_time, pipe):
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Tests to see if the moderation limit is not exceeded
@return: True if the moderation limit is exceeded
'''
# get key, otherwise default the moderate key expired and
# we dont care
value = pipe.get(self.moderate_key)
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'''
Tests to see if the moderation limit is not exceeded
@return: True if the moderation limit is exceeded
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# get key, otherwise default the moderate key expired and
# we dont care
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istresearch/scrapy-cluster | redis-monitor/plugins/info_monitor.py | InfoMonitor._get_bin | def _get_bin(self, key):
'''
Returns a binned dictionary based on redis zscore
@return: The sorted dict
'''
# keys based on score
sortedDict = {}
# this doesnt return them in order, need to bin first
for item in self.redis_conn.zscan_iter(key):
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Returns a binned dictionary based on redis zscore
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# keys based on score
sortedDict = {}
# this doesnt return them in order, need to bin first
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istresearch/scrapy-cluster | redis-monitor/plugins/info_monitor.py | InfoMonitor._build_appid_info | def _build_appid_info(self, master, dict):
'''
Builds the appid info object
@param master: the master dict
@param dict: the dict object received
@return: the appid info object
'''
master['total_crawlids'] = 0
master['total_pending'] = 0
master['to... | python | def _build_appid_info(self, master, dict):
'''
Builds the appid info object
@param master: the master dict
@param dict: the dict object received
@return: the appid info object
'''
master['total_crawlids'] = 0
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istresearch/scrapy-cluster | redis-monitor/plugins/info_monitor.py | InfoMonitor._build_crawlid_info | def _build_crawlid_info(self, master, dict):
'''
Builds the crawlid info object
@param master: the master dict
@param dict: the dict object received
@return: the crawlid info object
'''
master['total_pending'] = 0
master['total_domains'] = 0
maste... | python | def _build_crawlid_info(self, master, dict):
'''
Builds the crawlid info object
@param master: the master dict
@param dict: the dict object received
@return: the crawlid info object
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master['total_pending'] = 0
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istresearch/scrapy-cluster | redis-monitor/plugins/stop_monitor.py | StopMonitor._purge_crawl | def _purge_crawl(self, spiderid, appid, crawlid):
'''
Wrapper for purging the crawlid from the queues
@param spiderid: the spider id
@param appid: the app id
@param crawlid: the crawl id
@return: The number of requests purged
'''
# purge three times to tr... | python | def _purge_crawl(self, spiderid, appid, crawlid):
'''
Wrapper for purging the crawlid from the queues
@param spiderid: the spider id
@param appid: the app id
@param crawlid: the crawl id
@return: The number of requests purged
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istresearch/scrapy-cluster | redis-monitor/plugins/stop_monitor.py | StopMonitor._mini_purge | def _mini_purge(self, spiderid, appid, crawlid):
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@param spiderid: the spider id
@param appid: the app id
@param crawlid: the crawl id
@return: The number of requests purged
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total_purged = 0
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Actually purges the crawlid from the queue
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istresearch/scrapy-cluster | rest/rest_service.py | log_call | def log_call(call_name):
"""Log the API call to the logger."""
def decorator(f):
@wraps(f)
def wrapper(*args, **kw):
instance = args[0]
instance.logger.info(call_name, {"content": request.get_json()})
return f(*args, **kw)
return wrapper
return dec... | python | def log_call(call_name):
"""Log the API call to the logger."""
def decorator(f):
@wraps(f)
def wrapper(*args, **kw):
instance = args[0]
instance.logger.info(call_name, {"content": request.get_json()})
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istresearch/scrapy-cluster | rest/rest_service.py | error_catch | def error_catch(f):
"""Handle unexpected errors within the rest function."""
@wraps(f)
def wrapper(*args, **kw):
instance = args[0]
try:
result = f(*args, **kw)
if isinstance(result, tuple):
return jsonify(result[0]), result[1]
else:
... | python | def error_catch(f):
"""Handle unexpected errors within the rest function."""
@wraps(f)
def wrapper(*args, **kw):
instance = args[0]
try:
result = f(*args, **kw)
if isinstance(result, tuple):
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istresearch/scrapy-cluster | rest/rest_service.py | validate_json | def validate_json(f):
"""Validate that the call is JSON."""
@wraps(f)
def wrapper(*args, **kw):
instance = args[0]
try:
if request.get_json() is None:
ret_dict = instance._create_ret_object(instance.FAILURE,
N... | python | def validate_json(f):
"""Validate that the call is JSON."""
@wraps(f)
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instance = args[0]
try:
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istresearch/scrapy-cluster | rest/rest_service.py | validate_schema | def validate_schema(schema_name):
"""Validate the JSON against a required schema_name."""
def decorator(f):
@wraps(f)
def wrapper(*args, **kw):
instance = args[0]
try:
instance.validator(instance.schemas[schema_name]).validate(request.get_json())
... | python | def validate_schema(schema_name):
"""Validate the JSON against a required schema_name."""
def decorator(f):
@wraps(f)
def wrapper(*args, **kw):
instance = args[0]
try:
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._load_schemas | def _load_schemas(self):
"""Loads any schemas for JSON validation"""
for filename in os.listdir(self.settings['SCHEMA_DIR']):
if filename[-4:] == 'json':
name = filename[:-5]
with open(self.settings['SCHEMA_DIR'] + filename) as the_file:
se... | python | def _load_schemas(self):
"""Loads any schemas for JSON validation"""
for filename in os.listdir(self.settings['SCHEMA_DIR']):
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._spawn_redis_connection_thread | def _spawn_redis_connection_thread(self):
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self.logger.debug("Spawn redis connection thread")
self.redis_connected = False
self._redis_thread = Thread(target=self._setup_redis)
self._redis_thread.setDaemon(True)
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"""Spawns a redis connection thread"""
self.logger.debug("Spawn redis connection thread")
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._spawn_kafka_connection_thread | def _spawn_kafka_connection_thread(self):
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"""Spawns a kafka connection thread"""
self.logger.debug("Spawn kafka connection thread")
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._consumer_loop | def _consumer_loop(self):
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self._process_messages()
time.sleep(self.settings['KAFKA_CONSUMER_SLEEP_TIME']) | python | def _consumer_loop(self):
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._process_messages | def _process_messages(self):
"""Processes messages received from kafka"""
try:
for message in self.consumer:
try:
if message is None:
self.logger.debug("no message")
break
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@param result: the result retrieved from kafka"""
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self.logger.debug("Sending result to redis")
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._check_kafka_disconnect | def _check_kafka_disconnect(self):
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._setup_redis | def _setup_redis(self):
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self.logger.debug("Creating redis connection to host " +
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self.redis_conn = redis.StrictRedis(host=self.settings['R... | python | def _setup_redis(self):
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if not self.closed:
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._setup_kafka | def _setup_kafka(self):
"""
Sets up kafka connections
"""
# close older connections
if self.consumer is not None:
self.logger.debug("Closing existing kafka consumer")
self.consumer.close()
self.consumer = None
if self.producer is not No... | python | def _setup_kafka(self):
"""
Sets up kafka connections
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._create_consumer | def _create_consumer(self):
"""Tries to establing the Kafka consumer connection"""
if not self.closed:
try:
self.logger.debug("Creating new kafka consumer using brokers: " +
str(self.settings['KAFKA_HOSTS']) + ' and topic ' +
... | python | def _create_consumer(self):
"""Tries to establing the Kafka consumer connection"""
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istresearch/scrapy-cluster | rest/rest_service.py | RestService.run | def run(self):
"""Main flask run loop"""
self.logger.info("Running main flask method on port " +
str(self.settings['FLASK_PORT']))
self.app.run(host='0.0.0.0', port=self.settings['FLASK_PORT']) | python | def run(self):
"""Main flask run loop"""
self.logger.info("Running main flask method on port " +
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._create_ret_object | def _create_ret_object(self, status=SUCCESS, data=None, error=False,
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"""
Create generic reponse objects.
:param str status: The SUCCESS or FAILURE of the request
:param obj data: The data to return
:param bool err... | python | def _create_ret_object(self, status=SUCCESS, data=None, error=False,
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Create generic reponse objects.
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._close_thread | def _close_thread(self, thread, thread_name):
"""Closes daemon threads
@param thread: the thread to close
@param thread_name: a human readable name of the thread
"""
if thread is not None and thread.isAlive():
self.logger.debug("Waiting for {} thread to close".format... | python | def _close_thread(self, thread, thread_name):
"""Closes daemon threads
@param thread: the thread to close
@param thread_name: a human readable name of the thread
"""
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istresearch/scrapy-cluster | rest/rest_service.py | RestService.close | def close(self):
"""
Cleans up anything from the process
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self.logger.info("Closing Rest Service")
self.closed = True
# close threads
self._close_thread(self._redis_thread, "Redis setup")
self._close_thread(self._heartbeat_thread, "Heartbeat")
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"""
Cleans up anything from the process
"""
self.logger.info("Closing Rest Service")
self.closed = True
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self._close_thread(self._redis_thread, "Redis setup")
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._calculate_health | def _calculate_health(self):
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"""
if self.redis_connected and self.kafka_connected:
return "GREEN"
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"""Returns a string representation of the node health
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._feed_to_kafka | def _feed_to_kafka(self, json_item):
"""Sends a request to Kafka
:param json_item: The json item to send
:returns: A boolean indicating whther the data was sent successfully or not
"""
@MethodTimer.timeout(self.settings['KAFKA_FEED_TIMEOUT'], False)
def _feed(json_item):... | python | def _feed_to_kafka(self, json_item):
"""Sends a request to Kafka
:param json_item: The json item to send
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istresearch/scrapy-cluster | rest/rest_service.py | RestService._decorate_routes | def _decorate_routes(self):
"""
Decorates the routes to use within the flask app
"""
self.logger.debug("Decorating routes")
# self.app.add_url_rule('/', 'catch', self.catch, methods=['GET'],
# defaults={'path': ''})
self.app.add_url_rule('/<... | python | def _decorate_routes(self):
"""
Decorates the routes to use within the flask app
"""
self.logger.debug("Decorating routes")
# self.app.add_url_rule('/', 'catch', self.catch, methods=['GET'],
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self.app.add_url_rule('/<... | [
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istresearch/scrapy-cluster | rest/rest_service.py | RestService.poll | def poll(self):
"""Retrieves older requests that may not make it back quick
enough"""
if self.redis_connected:
json_item = request.get_json()
result = None
try:
key = "rest:poll:{u}".format(u=json_item['poll_id'])
result = self.... | python | def poll(self):
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if self.redis_connected:
json_item = request.get_json()
result = None
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key = "rest:poll:{u}".format(u=json_item['poll_id'])
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vimalloc/flask-jwt-extended | flask_jwt_extended/utils.py | create_refresh_token | def create_refresh_token(identity, expires_delta=None, user_claims=None):
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Creates a new refresh token.
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vimalloc/flask-jwt-extended | examples/database_blacklist/blacklist_helpers.py | is_token_revoked | def is_token_revoked(decoded_token):
"""
Checks if the given token is revoked or not. Because we are adding all the
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"""
jti = deco... | python | def is_token_revoked(decoded_token):
"""
Checks if the given token is revoked or not. Because we are adding all the
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vimalloc/flask-jwt-extended | examples/database_blacklist/blacklist_helpers.py | revoke_token | def revoke_token(token_id, user):
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"""
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vimalloc/flask-jwt-extended | examples/database_blacklist/blacklist_helpers.py | prune_database | def prune_database():
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"""
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expired... | python | def prune_database():
"""
Delete tokens that have expired from the database.
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"""
if request.method not in config.exempt_methods:
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Ensure that the requester has a valid access token. This does not check the
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vimalloc/flask-jwt-extended | flask_jwt_extended/view_decorators.py | verify_fresh_jwt_in_request | def verify_fresh_jwt_in_request():
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vimalloc/flask-jwt-extended | flask_jwt_extended/view_decorators.py | jwt_optional | def jwt_optional(fn):
"""
A decorator to optionally protect a Flask endpoint
If an access token in present in the request, this will call the endpoint
with :func:`~flask_jwt_extended.get_jwt_identity` having the identity
of the access token. If no access token is present in the request,
this en... | python | def jwt_optional(fn):
"""
A decorator to optionally protect a Flask endpoint
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MycroftAI/mycroft-precise | precise/model.py | load_precise_model | def load_precise_model(model_name: str) -> Any:
"""Loads a Keras model from file, handling custom loss function"""
if not model_name.endswith('.net'):
print('Warning: Unknown model type, ', model_name)
inject_params(model_name)
return load_keras().models.load_model(model_name) | python | def load_precise_model(model_name: str) -> Any:
"""Loads a Keras model from file, handling custom loss function"""
if not model_name.endswith('.net'):
print('Warning: Unknown model type, ', model_name)
inject_params(model_name)
return load_keras().models.load_model(model_name) | [
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MycroftAI/mycroft-precise | precise/model.py | create_model | def create_model(model_name: Optional[str], params: ModelParams) -> 'Sequential':
"""
Load or create a precise model
Args:
model_name: Name of model
params: Parameters used to create the model
Returns:
model: Loaded Keras model
"""
if model_name and isfile(model_name):
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"""
Load or create a precise model
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model_name: Name of model
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model: Loaded Keras model
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MycroftAI/mycroft-precise | precise/scripts/train_generated.py | GeneratedTrainer.layer_with | def layer_with(self, sample: np.ndarray, value: int) -> np.ndarray:
"""Create an identical 2d array where the second row is filled with value"""
b = np.full((2, len(sample)), value, dtype=float)
b[0] = sample
return b | python | def layer_with(self, sample: np.ndarray, value: int) -> np.ndarray:
"""Create an identical 2d array where the second row is filled with value"""
b = np.full((2, len(sample)), value, dtype=float)
b[0] = sample
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MycroftAI/mycroft-precise | precise/scripts/train_generated.py | GeneratedTrainer.generate_wakeword_pieces | def generate_wakeword_pieces(self, volume):
"""Generates chunks of audio that represent the wakeword stream"""
while True:
target = 1 if random() > 0.5 else 0
it = self.pos_files_it if target else self.neg_files_it
sample_file = next(it)
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"""Generates chunks of audio that represent the wakeword stream"""
while True:
target = 1 if random() > 0.5 else 0
it = self.pos_files_it if target else self.neg_files_it
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MycroftAI/mycroft-precise | precise/scripts/train_generated.py | GeneratedTrainer.chunk_audio_pieces | def chunk_audio_pieces(self, pieces, chunk_size):
"""Convert chunks of audio into a series of equally sized pieces"""
left_over = np.array([])
for piece in pieces:
if left_over.size == 0:
combined = piece
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MycroftAI/mycroft-precise | precise/scripts/train_generated.py | GeneratedTrainer.calc_volume | def calc_volume(self, sample: np.ndarray):
"""Find the RMS of the audio"""
return sqrt(np.mean(np.square(sample))) | python | def calc_volume(self, sample: np.ndarray):
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MycroftAI/mycroft-precise | precise/scripts/train_generated.py | GeneratedTrainer.max_run_length | def max_run_length(x: np.ndarray, val: int):
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if x.size == 0:
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y = np.array(x[1:] != x[:-1])
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MycroftAI/mycroft-precise | precise/scripts/train_generated.py | GeneratedTrainer.samples_to_batches | def samples_to_batches(samples: Iterable, batch_size: int):
"""Chunk a series of network inputs and outputs into larger batches"""
it = iter(samples)
while True:
with suppress(StopIteration):
batch_in, batch_out = [], []
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"""Chunk a series of network inputs and outputs into larger batches"""
it = iter(samples)
while True:
with suppress(StopIteration):
batch_in, batch_out = [], []
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MycroftAI/mycroft-precise | precise/scripts/train_generated.py | GeneratedTrainer.run | def run(self):
"""Train the model on randomly generated batches"""
_, test_data = self.data.load(train=False, test=True)
try:
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"""Train the model on randomly generated batches"""
_, test_data = self.data.load(train=False, test=True)
try:
self.model.fit_generator(
self.samples_to_batches(self.generate_samples(), self.args.batch_size), steps_per_epoch=self.args.steps_per_epoch,
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MycroftAI/mycroft-precise | precise/train_data.py | TrainData.from_both | def from_both(cls, tags_file: str, tags_folder: str, folder: str) -> 'TrainData':
"""Load data from both a database and a structured folder"""
return cls.from_tags(tags_file, tags_folder) + cls.from_folder(folder) | python | def from_both(cls, tags_file: str, tags_folder: str, folder: str) -> 'TrainData':
"""Load data from both a database and a structured folder"""
return cls.from_tags(tags_file, tags_folder) + cls.from_folder(folder) | [
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MycroftAI/mycroft-precise | precise/train_data.py | TrainData.load_inhibit | def load_inhibit(self, train=True, test=True) -> tuple:
"""Generate data with inhibitory inputs created from wake word samples"""
def loader(kws: list, nkws: list):
from precise.params import pr
inputs = np.empty((0, pr.n_features, pr.feature_size))
outputs = np.zero... | python | def load_inhibit(self, train=True, test=True) -> tuple:
"""Generate data with inhibitory inputs created from wake word samples"""
def loader(kws: list, nkws: list):
from precise.params import pr
inputs = np.empty((0, pr.n_features, pr.feature_size))
outputs = np.zero... | [
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MycroftAI/mycroft-precise | precise/train_data.py | TrainData.parse_args | def parse_args(parser: ArgumentParser) -> Any:
"""Return parsed args from parser, adding options for train data inputs"""
extra_usage = '''
:folder str
Folder to load wav files from
:-tf --tags-folder str {folder}
Specify a different f... | python | def parse_args(parser: ArgumentParser) -> Any:
"""Return parsed args from parser, adding options for train data inputs"""
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Folder to load wav files from
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MycroftAI/mycroft-precise | precise/vectorization.py | vectorize_raw | def vectorize_raw(audio: np.ndarray) -> np.ndarray:
"""Turns audio into feature vectors, without clipping for length"""
if len(audio) == 0:
raise InvalidAudio('Cannot vectorize empty audio!')
return vectorizers[pr.vectorizer](audio) | python | def vectorize_raw(audio: np.ndarray) -> np.ndarray:
"""Turns audio into feature vectors, without clipping for length"""
if len(audio) == 0:
raise InvalidAudio('Cannot vectorize empty audio!')
return vectorizers[pr.vectorizer](audio) | [
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MycroftAI/mycroft-precise | precise/vectorization.py | vectorize_inhibit | def vectorize_inhibit(audio: np.ndarray) -> np.ndarray:
"""
Returns an array of inputs generated from the
wake word audio that shouldn't cause an activation
"""
def samp(x):
return int(pr.sample_rate * x)
inputs = []
for offset in range(samp(inhibit_t), samp(inhibit_dist_t), samp(i... | python | def vectorize_inhibit(audio: np.ndarray) -> np.ndarray:
"""
Returns an array of inputs generated from the
wake word audio that shouldn't cause an activation
"""
def samp(x):
return int(pr.sample_rate * x)
inputs = []
for offset in range(samp(inhibit_t), samp(inhibit_dist_t), samp(i... | [
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MycroftAI/mycroft-precise | runner/precise_runner/runner.py | TriggerDetector.update | def update(self, prob):
# type: (float) -> bool
"""Returns whether the new prediction caused an activation"""
chunk_activated = prob > 1.0 - self.sensitivity
if chunk_activated or self.activation < 0:
self.activation += 1
has_activated = self.activation > self.tr... | python | def update(self, prob):
# type: (float) -> bool
"""Returns whether the new prediction caused an activation"""
chunk_activated = prob > 1.0 - self.sensitivity
if chunk_activated or self.activation < 0:
self.activation += 1
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